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The Search Tightrope in Plain View: What Liz Reid Just Told Us About Google’s AI Future

October 11, 2025 by Basil Puglisi Leave a Comment

TL;DR
• What changed: Google is moving AI from behind-the-scenes ranking to front-and-center answers, through AI Overviews and AI Mode, while saying links still guide people out to the open web [1].
• Why it matters: Google says people search more and are happier when AI Overviews appear, and that commercial intent still drives clicks. Publishers and analysts counter that clicks often fall in AI summary contexts [2].
• User behavior tilt: Youth attention concentrates on video and creator content, which Search now surfaces more [3].
• Legal backdrop: Generative AI now features in U.S. search remedy debates, reframing competition while scrutiny persists [4].
• Pushback and controls: European publishers have filed complaints over alleged traffic loss. Power users share workarounds to suppress AI summaries, and Google experiments with ad grouping and collapsible modules [5].

Bottom line
Search is shifting from find and click to ask and decide. Google’s operating strategy is to reduce friction to a first useful insight, then hand people off to trusted sources, products, and creators. The teams that win design for both paths and prove it with query growth, qualified clickthrough, and conversion that holds steady as the UI evolves [1][2].

What Happened

In the WSJ Bold Names interview, Google’s head of Search Liz Reid depicted AI as the most significant transformation since mobile. While transformer models such as BERT have powered understanding for years, what’s new is the visible shift: AI Overviews and AI Mode that present summary responses with embedded links. Reid contends that users issue more queries, are more satisfied, and still click when they intend to transact. Ads can appear above or below AI modules depending on context [1].

Google Search AI, AI Overviews, AI Mode, Liz Reid, BERT, Pew teens, antitrust remedies, publisher traffic, Search strategy, Factics

Why It Matters (Factics)

Fact: Google reports more and longer queries in AI Mode and overviews, calling AI Overviews among the most successful Search features of the decade [1].
Tactic: For each high-priority topic, create two types of pages: (a) concise, citable answer pages tailored for AI summarization; (b) deeper explainers with supporting data, multimedia, and links.
KPI: Achieve a +10 to +20 percent increase in AI-referred sessions and +6 to +10 percent organic CTR from AI inline links.

Fact: Independent studies show that when summaries appear, users are less likely to click links. In one analysis, links were clicked roughly half as often when placed under AI summaries [3].
Tactic: Construct phrase-level answers of about 40–60 words with explicit attribution (“According to…”) and clean headings to maximize the chance AI panels pick your content.
KPI: +10 percent month-over-month growth in AI-panel inclusions, while maintaining session revenue.

Fact: Google product documentation indicates AI features will show links above, within, and below summaries to encourage deeper exploration of sources [1].
Tactic: Use clear section headers, FAQ blocks, and Article/FAQ schema to allow AI modules to pick and link your text.
KPI: Increase impression share in “AI appearance” surfaces in Search Console and uplift in assisted conversions.

Fact: Teens and younger users disproportionately favor video and creator content; search surfaces are shifting to reflect that [3].
Tactic: Publish short explainer videos on YouTube for your top questions; embed the transcripts on your site so AI modules can source them.
KPI: +20 percent video-led organic entries and +10 percent session depth from those entries.

Fact: Legal and regulatory commentary acknowledges that generative AI is reshaping the competitive landscape in search, though some analysts say Google’s dominance remains resilient [4].
Tactic: Track AI-referred traffic as a distinct segment; diversify content distribution through prompts, assistant ecosystems, and non-Search channels.
KPI: Keep any single channel below 35 percent of total inbound traffic; aim for ±3 percent week-over-week variation in AI-referred clicks.

Fact: Some European publishers have lodged complaints claiming AI Overviews reduce their referral traffic; users also share ways to suppress AI panels [5].
Tactic: Emphasize original reporting, unique tools or data, and content forms (video, interactive) that move beyond what a paragraph can convey.
KPI: −10 percent bounce on deep explainers, +15 percent returning visitors to cornerstone hubs, and retention of brand attribution inside AI modules.


Lessons in Action

  1. Design for the first answer and the next click. Instrument time to outbound click and track conversion from AI-referred sessions.
  2. Build citable answer slices. Use clear attribution and modular short statements so AI modules can quote and link.
  3. Lead with video where attention lies. Host transcripts on your pages so AI panels can attribute and link.
  4. Instrument risk. Spin dashboards for AI traffic, branded vs. non-brand queries, and single-source dependency.
  5. Monitor evolving user controls and UI options. Some users disable AI modules, so understand how that affects click behavior.

Reflect and Adapt

As AI surfaces answers, our role shifts to being notably better at the parts AI cannot wholly replace—depth, insight, nuance, interactivity. The best paths will pair an instant summary with an invitation to go deeper. Our measurement follows the flow: from AI-impression to click to deeper engagement to conversion.


Common Questions

Q: Does AI Overview kill clicks?
A: It depends on vertical and query type. Google claims higher volumes and satisfaction [1], but independent data show lower click rates when summaries appear [3]. Track for your own segments.

Q: How can I get my content cited inside AI answers?
A: Use short, well-attributed answer passages with clean headings, FAQ blocks, and schema markup. AI panels often source those directly [1].

Q: Is Google losing to chat assistants?
A: Google is pursuing both patterns—evolving Search while developing Gemini chat. Regulation explicitly considers generative AI’s effect on competition [4].


References

  1. Google. (2025, May 20). AI in Search: Going beyond information to intelligence. Retrieved from https://blog.google/products/search/google-search-ai-mode-update/
  2. Google. (2025, August 6). AI in Search: Driving more queries and higher quality clicks. Retrieved from https://blog.google/products/search/ai-search-driving-more-queries-higher-quality-clicks/
  3. Pew Research Center. (2023, December 11). Teens, social media and technology 2023. Retrieved from https://www.pewresearch.org/internet/2023/12/11/teens-social-media-and-technology-2023/
  4. U.S. Department of Justice. (2025, September 2). Department of Justice wins significant remedies against Google. Retrieved from https://www.justice.gov/opa/pr/department-justice-wins-significant-remedies-against-google
  5. The Guardian. (2025, October 16). Italian publishers demand investigation into Google’s AI Overviews. Retrieved from https://www.theguardian.com/technology/2025/oct/16/google-ai-overviews-italian-news-publishers-demand-investigation

Filed Under: AI Artificial Intelligence, AIgenerated, Content Marketing, Search Engines, SEO Search Engine Optimization Tagged With: Ads, AI, search, SEO

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